Data Engineer (People Analytics)

OVERVIEW OF THE ROLE

We are looking for an experiencedhands-on Data Engineerto join our Global People Analytics team in Hyderabad. In this role, youll be instrumental in designing, building, and maintaining scalable data pipelines, data modelling and will be a key technical contributor on all aspects of the end-to-end data management lifecycle. The successful candidate will architect robust data solutions and models that support our Workday and PRISM HR Analytics ecosystem. As the Analytics function evolves, you will help shape our roadmap through data lead strategies and technology adoption such as GenAI, Tableau, AWS Data Bricks with the People Analytics data foundation being a key enabler.

In addition, we are looking for someone who will find the right balance between maximising security without hindering productivity. With a pragmatic approach to problem solving and what makes sense to the business and holistic interoperability.

If youre excited by a challenge, a critical thinker with a strong passion for data driven decision making, then wed love to hear from you.

KEY RESPONSIBILITIES

• Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.
• Write clean, efficient, and well-documented code and ETL/ELT processes.
• Ensure data is dependable, accurate, and delivered in a timely manner.
• Work with information technicians, data scientists, and product managers to understand requirements and deliver actionable data solutions.
• Translate business needs into tangible engineering outcomes.
• Participate in code reviews, sprint planning, Project lifecycles, and retrospectives as part of a Global People Analytics Team
• Safeguard end-to-end Rested and Transit data levels of security, encryption, and access protocols.
• Monitor data pipelines and troubleshoot issues in a timely, systematic manner.
• Document data sources, data models, transformations, architecture design, and best practice standards.
• Advocate and ambassador for strong enterprise data adoption, servicing, and ethical use.
• Research new data sources, methodologies, software adoption, and industry standards.

TO EXCEL IN THIS ROLE, YOU WILL NEED TO HAVE

• Minimum 3 years experience in data engineering, analytics engineering, or software engineering with a focus on data.
• Proven background in Data modelling, methodologies, and security design
• Strong SQL skills and familiarity with at least one programming language.
• Hand-on and recent experience of Big Data, data warehousing, and ETL/ELT routines and concepts.
• At least 2 years previous hands-on experience of Workday PRISM
• Strong attention to detail with a drive for service excellence
• Oral and written communication skills with the ability to translate technical concepts for non-technical audience and vice versa.
• Excellent problem-solving and critical thinking skills with the ability to troubleshoot complex data pipeline activity and performance optimization.

Desirable

• Experience with HR systems (Workday preferred) and understanding of HR data models and business processes.
• Previous Experience working with cloud-based data platforms (AWS, GCP, or Azure).
• Tableau and specifically data foundation design vis Server, Pulse etc